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Artificial Intelligence Machine Learning Engineer Jobs in Spring, TX

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Genuine intellectual curiosity about commodities markets, global energy flows, and the commercial ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Genuine intellectual curiosity about commodities markets, global energy flows, and the commercial ...

... artificial intelligence/machine learning solution architecture 4+ years of experience with AI ... AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must-Have (Technical Expertise & Core Responsibilities) * Deep Neural Networks (DNN): * Hands-on ...

AI Automation Analyst

Spring, TX · On-site

$130K - $150K/yr

Foundational knowledge of artificial intelligence, machine learning concepts, and AI tools * Hands ... Basic understanding of prompt engineering and structured prompting techniques * Strong written ...

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Artificial Intelligence Machine Learning Engineer information

See Spring, TX salary details

$28K

$114.6K

$172.2K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for artificial intelligence machine learning engineer in Spring, TX is $114,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $137,900.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI or machine learning engineers, research directors, or executive positions in artificial intelligence. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation. Compensation at this level reflects extensive expertise, strategic impact, and often involves stock options or bonuses in addition to base salary.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What engineers make $500,000?

Artificial Intelligence and Machine Learning Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work in high-demand industries like tech or finance. Compensation often includes base salary, bonuses, and stock options, particularly at senior levels or in leadership roles.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

Is AI ML engineer in demand?

AI and ML engineers are in high demand across various industries due to the increasing adoption of artificial intelligence technologies. Companies seek professionals skilled in programming languages like Python, machine learning frameworks, and data analysis to develop and implement AI solutions, leading to strong job growth and competitive salaries in this field.

How much do AI ML engineers make?

AI ML engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can command higher salaries, often exceeding $200,000.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Spring, TX? For Artificial Intelligence Machine Learning Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Spring, TX look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Spring, TX with the most Artificial Intelligence Machine Learning Engineer job openings:
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Spring, TX as of June 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $114,590 per year, or $55.1 per hour.
US|Machine Learning Engineer V

US|Machine Learning Engineer V

Samprasoft

Houston, TX

Other

Posted 9 days ago


Job description

Machine Learning Engineer

Responsibilities:

Develop machine learning workflows to enable an Azure-First approach to computer vision applications. Conduct POCs with different vendors in data science and machine learning space.

Gather requirements and understand common problems across the enterprise to define, develop and deploy the foundational capabilities in this space.

Streamline labeling, infrastructure provisioning and training processes to speed up the development cycle.

Required Experience:

Previous experience with Computer Vision and Azure skills hard requirement to be considered for this position

Solid experience building computer vision applications using deep learning methods with static (2D Images) and real-time (videos).

Solid azure skills and ability to connect different services and products to create automated ML workflows including training models.

Solid Python skills

Previous experience in Ansible is a plus.

Working in agile team

Preferred Experience:

Previous experience applying computer vision to drone or other unmanned system generated rich media data is preferred.

Previous experience with segmentation & classification of 3D Point Clouds will be a plus.

Education:

B.A. / B.S.